Artificial Intelligence / Machine Learning

The feats achieved through AI and machine learning are astonishing and can feel like modern wizardry. But without clear ethical reasoning and principled leadership, this utopian promise could tumble all too quickly into a dystopian nightmare.

Technological advancements have made it possible to imagine sports competitions of a very different variety than those we enjoy today. With so many avenues of entertainment open to us, it begs the question: in the future of sports who will the athletes be, human — or machine?

With the rise of AI-driven personal assistants like Siri and Alexa, chatbots are becoming increasingly ubiquitous, and the market value of chatbots is expected to reach $1.23 billion by 2025. What are the causes and implications of this chatbot boom, and what will it mean for the future of business? Carrie Epstein and Amy Sinensky of Viacom explore the question in this flash talk from Future Assembly 2018.

How can businesses navigate this AI-driven future that we’re all moving towards? In this keynote from our 2018 Digital Transformation Summit, Amy Yu recommends companies focus on three things: data, talent and ethics.

Big data…artificial intelligence…Internet of Things. These technologies have taken their shares of the headlines the past few years, but now machine learning is the buzz. Mike Teodorescu explains how it is changing the lives of consumers and businesses.

Toutiao, the media giant and new aggregator platform, has created a strong competitive advantage by leveraging machine learning to provide customized content to its readers, but that doesn’t mean the company doesn’t still rely on top talent to get the job done.

The potential of AI to change the world is undeniable, and yet there is an ugly side to this transformational technology in the form of biased and exclusionary machine learning. Amar Ashar and Sandra Cortesi of the Berkman Klein Center’s Ethics and Governance of Artificial Intelligence group detail some of the most pressing issues related to the AI divide and explore how AI can become more inclusive as the technology takes greater hold globally.

As companies adopt artificial intelligence to increase efficiency, are their employees skilled enough to use those technologies effectively? Professor Prithwiraj Choudhury looks to the U.S. Patent and Trademark Office for a case study.

Five years ago, Matt Might’s son Bertrand was dying, stranded on Undiagnosed Island, and suffering from an unnamed and extremely rare genetic disorder. What happened next was a remarkable journey to wellness which included viral blog posts, regenerative worms, one White House mandated initiative, and some arguably shady Amazon orders. In this talk from the Harvard Institute for Applied Computational Science’s Digital Doctor Symposium, Matt Might lays out his bold vision for the future of precision medicine, one that relies on data-driven insights, powerful computation and machine learning, and an invitation to patients to dive feet-first into the scientific method along with their clinicians.

HBS Assistant Professor Kris Johnson Ferreira partnered with Rue La La to help the online flash sale company improve their pricing structure. So what exactly can machine learning and data analytics do for a fashion retailer? Just take a look at the bottom line to see the answer.